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ORCIDRobert J. Smith 0002
Person information
- affiliation: Dalhousie University, Halifax, NS, Canada
Other persons with the same name
- Robert J. Smith 0001 — Microelectronics and Computer Technology Corp., Austin, TX, USA (and 5 more)
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Journal Articles
- 2024
[j2]Robert J. Smith
, Malcolm I. Heywood:
Interpreting Tangled Program Graphs Under Partially Observable Dota 2 Invoker Tasks. IEEE Trans. Artif. Intell. 5(4): 1511-1524 (2024)- 2021
- [j1]Stephen Kelly, Robert J. Smith, Malcolm I. Heywood, Wolfgang Banzhaf:
Emergent Tangled Program Graphs in Partially Observable Recursive Forecasting and ViZDoom Navigation Tasks. ACM Trans. Evol. Learn. Optim. 1(3): 11:1-11:41 (2021)
Conference and Workshop Papers
- 2022
- [c12]Ryan Amaral, Alexandru Ianta, Caleidgh Bayer, Robert J. Smith, Malcolm I. Heywood:
Benchmarking genetic programming in a multi-action reinforcement learning locomotion task. GECCO Companion 2022: 522-525 - 2021
- [c11]Robert J. Smith, Ryan Amaral, Malcolm I. Heywood:
Evolving Simple Solutions to the CIFAR-10 Benchmark using Tangled Program Graphs. CEC 2021: 2061-2068 - [c10]Alexandru Ianta, Ryan Amaral, Caleidgh Bayer, Robert J. Smith, Malcolm I. Heywood:
On the impact of tangled program graph marking schemes under the atari reinforcement learning benchmark. GECCO 2021: 111-119 - [c9]Caleidgh Bayer, Ryan Amaral, Robert J. Smith, Alexandru Ianta, Malcolm I. Heywood:
Finding Simple Solutions to Multi-Task Visual Reinforcement Learning Problems with Tangled Program Graphs. GPTP 2021: 1-19 - 2019
- [c8]Robert J. Smith, Malcolm I. Heywood:
A Model of External Memory for Navigation in Partially Observable Visual Reinforcement Learning Tasks. EuroGP 2019: 162-177 - [c7]Robert J. Smith, Malcolm I. Heywood:
Evolving dota 2 shadow fiend bots using genetic programming with external memory. GECCO 2019: 179-187 - [c6]Robert J. Smith, Malcolm I. Heywood:
Evolving a Dota 2 Hero Bot with a Probabilistic Shared Memory Model. GPTP 2019: 345-366 - 2018
- [c5]Robert J. Smith, Malcolm I. Heywood:
Scaling Tangled Program Graphs to Visual Reinforcement Learning in ViZDoom. EuroGP 2018: 135-150 - [c4]Stephen Kelly, Robert J. Smith, Malcolm I. Heywood:
Emergent Policy Discovery for Visual Reinforcement Learning Through Tangled Program Graphs: A Tutorial. GPTP 2018: 37-57 - 2017
- [c3]Robert J. Smith, Malcolm I. Heywood:
Coevolving deep hierarchies of programs to solve complex tasks. GECCO 2017: 1009-1016 - 2016
- [c2]Robert J. Smith, Stephen Kelly, Malcolm I. Heywood:
Discovering Rubik's Cube Subgroups using Coevolutionary GP: A Five Twist Experiment. GECCO 2016: 789-796 - [c1]Robert J. Smith, Ayse Nur Zincir-Heywood, Malcolm I. Heywood, John T. Jacobs:
Initiating a Moving Target Network Defense with a Real-time Neuro-evolutionary Detector. GECCO (Companion) 2016: 1095-1102
Informal and Other Publications
- 2024
- [i1]Caleidgh Bayer, Robert J. Smith, Malcolm I. Heywood:
Emergent Braitenberg-style Behaviours for Navigating the ViZDoom 'My Way Home' Labyrinth. CoRR abs/2404.06529 (2024)
Coauthor Index
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